Earth Data School
About
Full catalog/MERIS_L2_RR_OC
MERIS_L2_RR_OC·v2022.0·dataset

Ocean color and biology, reduced resolution (ENVISAT MERIS)

ENVISAT MERIS Level-2 Regional Reduced Resolution (RR) Ocean Color (OC) Data, version 2022.0
ocean NASA OB_CLOUD Level 2 netCDF-4
In plain English

What it measures. Provides ocean-color measurements and the biology and optics derived from them, including chlorophyll, water clarity, particulate carbon, and how sunlight interacts with the upper ocean.

How it's made. Derived from the MERIS instrument on ESA's ENVISAT satellite, atmospherically corrected and delivered at a reduced (coarser) resolution for regional coverage.

How & where you'd use it. Useful for studying light penetration, ocean productivity, and biogeochemical cycles, and for tracking the health of marine ecosystems.

What's measured

Oceans › Ocean Optics › Ocean ColorOceans › Ocean Optics › ReflectanceAtmosphere › Aerosols › Aerosol Optical Depth/ThicknessAtmosphere › Aerosols › Aerosol Optical Depth/Thickness › Angstrom ExponentOceans › Ocean Optics › Chlorophyll › Chlorophyll ConcentrationOceans › Ocean Optics › Attenuation/TransmissionOceans › Ocean Chemistry › Organic CarbonOceans › Ocean Chemistry › Inorganic CarbonOceans › Ocean Optics › FluorescenceOceans › Ocean Optics › Photosynthetically Active Radiation

Coverage & cadence

  • Time span2002-03-21 → 2012-05-09
  • Measured byENVISAT (MERIS)
  • Processing levelLevel 2
  • Spatial extent-180, -90, 180, 90
  • FormatsnetCDF-4
  • StatusCOMPLETE

What you can do with it

  • Watch sea-surface temperature and marine heatwaves
  • Spot algal blooms and ocean-colour shifts
  • Support fisheries and coastal monitoring
Official description

The Ocean Color (OC) data suite provides calibrated, atmospherically corrected ocean-optics measurements and derived biogeophysical products. This data suite includes the Apparent Optical Properties (AOP) and provides satellite-derived measures of the interaction between solar radiation and the upper ocean. AOPs are "apparent" because they depend not only on the inherent optical properties (IOPs) of seawater and its constituents but also on the ambient light field. These variables are critical for studying light penetration, primary productivity, and biogeochemical cycling. Geophysical variables in this suite include: - Kd_490 - Diffuse attenuation coefficient at 490 nm, KD2 algorithm (m⁻¹) - Rrs - Remote sensing reflectance (sr⁻¹) - angstrom - Aerosol Angstrom exponent, 443 to 865 nm - chlor_a - Chlorophyll Concentration, OCI Algorithm (mg m⁻³) - l2_flags - Level-2 Processing Flags - aot_865 - Aerosol optical thickness at 865 nm - par - Photosynthetically Available Radiation, R. Frouin (mol m⁻² day⁻¹) - pic - Calcite Concentration, Balch and Gordon (mol m⁻³) - poc - Particulate Organic Carbon, D. Stramski, 2007 (443/555 version) (mg m⁻³)

Get the data

meris_l2_rr_oc_access.py
import earthaccess
earthaccess.login(strategy="netrc")          # free Earthdata Login

results = earthaccess.search_data(
    short_name="MERIS_L2_RR_OC",
    version="2022.0",
    bounding_box=(-122.5, 37.2, -121.8, 37.9),  # your area (W,S,E,N)
    temporal=("2024-01-01", "2024-12-31"),       # your dates
)
files = earthaccess.open(results)   # stream straight from OB_CLOUD
Browsing CMR needs no login. Downloading or streaming bytes needs a free Earthdata Login + the earthaccess package.